Published: 09 Oct 2015 Category: deep_learning



Image Super-Resolution Using Deep Convolutional Networks

Learning a Deep Convolutional Network for Image Super-Resolution

Shepard Convolutional Neural Networks

Bidirectional Recurrent Convolutional Networks for Multi-Frame Super-Resolution

Deeply-Recursive Convolutional Network for Image Super-Resolution

Accurate Image Super-Resolution Using Very Deep Convolutional Networks

Super-Resolution with Deep Convolutional Sufficient Statistics

Deep Depth Super-Resolution : Learning Depth Super-Resolution using Deep Convolutional Neural Network

Local- and Holistic- Structure Preserving Image Super Resolution via Deep Joint Component Learning

End-to-End Image Super-Resolution via Deep and Shallow Convolutional Networks

Accelerating the Super-Resolution Convolutional Neural Network

srez: Image super-resolution through deep learning

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network

Is the deconvolution layer the same as a convolutional layer?

  • intro: A note on Real­Time Single Image and Video Super­Resolution Using an Efficient Sub­Pixel Convolutional Neural Network.
  • arxiv:

Amortised MAP Inference for Image Super-resolution

Real-Time Video Super-Resolution with Spatio-Temporal Networks and Motion Compensation

Super-Resolution on Satellite Imagery using Deep Learning

Neural Enhance: Super Resolution for images using deep learning.

Texture Enhancement via High-Resolution Style Transfer for Single-Image Super-Resolution

EnhanceNet: Single Image Super-Resolution through Automated Texture Synthesis

Learning a Mixture of Deep Networks for Single Image Super-Resolution

Dual Recovery Network with Online Compensation for Image Super-Resolution

Super-resolution Using Constrained Deep Texture Synthesis

Pixel Recursive Super Resolution

GUN: Gradual Upsampling Network for single image super-resolution

Single Image Super-resolution with a Parameter Economic Residual-like Convolutional Neural Network

Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution

Fast and Accurate Image Super-Resolution with Deep Laplacian Pyramid Networks

Single Image Super-Resolution Using Multi-Scale Convolutional Neural Network

Super-Resolution via Deep Learning

High-Quality Face Image SR Using Conditional Generative Adversarial Networks

Enhanced Deep Residual Networks for Single Image Super-Resolution

Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network

Single Image Super-Resolution with Dilated Convolution based Multi-Scale Information Learning Inception Module

Attention-Aware Face Hallucination via Deep Reinforcement Learning

CISRDCNN: Super-resolution of compressed images using deep convolutional neural networks

Deep Inception-Residual Laplacian Pyramid Networks for Accurate Single Image Super-Resolution

D-PCN: Parallel Convolutional Neural Networks for Image Recognition in Reverse Adversarial Style


CT-SRCNN: Cascade Trained and Trimmed Deep Convolutional Neural Networks for Image Super Resolution

FSRNet: End-to-End Learning Face Super-Resolution with Facial Priors

A Frequency Domain Neural Network for Fast Image Super-resolution

SRPGAN: Perceptual Generative Adversarial Network for Single Image Super Resolution

“Zero-Shot” Super-Resolution using Deep Internal Learning

Super-Resolution with Deep Adaptive Image Resampling

SRPGAN: Perceptual Generative Adversarial Network for Single Image Super Resolution

SESR: Single Image Super Resolution with Recursive Squeeze and Excitation Networks

Deep Image Super Resolution via Natural Image Priors

Residual Dense Network for Image Super-Resolution

Deep Back-Projection Networks For Super-Resolution

Fast, Accurate, and, Lightweight Super-Resolution with Cascading Residual Network

Fast and Accurate Single Image Super-Resolution via Information Distillation Network

Deep Residual Networks with a Fully Connected Recon-struction Layer for Single Image Super-Resolution

Adaptive Importance Learning for Improving Lightweight Image Super-resolution Network

Image Super-Resolution Using Very Deep Residual Channel Attention Networks

An Attention-Based Approach for Single Image Super Resolution

The Unreasonable Effectiveness of Texture Transfer for Single Image Super-resolution

Deep Learning for Single Image Super-Resolution: A Brief Review

Improving Super-Resolution Methods via Incremental Residual Learning

Deep Learning-based Image Super-Resolution Considering Quantitative and Perceptual Quality

Generative adversarial network-based image super-resolution using perceptual content losses

Channel-wise and Spatial Feature Modulation Network for Single Image Super-Resolution

Triple Attention Mixed Link Network for Single Image Super Resolution

Fast, Accurate and Lightweight Super-Resolution with Neural Architecture Search

Feedback Network for Image Super-Resolution

Video Super-resolution

Detail-revealing Deep Video Super-resolution

End-to-End Learning of Video Super-Resolution with Motion Compensation

Frame-Recurrent Video Super-Resolution

Photorealistic Video Super Resolution

Recurrent Back-Projection Network for Video Super-Resolution

Fast Spatio-Temporal Residual Network for Video Super-Resolution